Multimodal signal processing for the analysis of Cardiovascular variability

Alberto Porta, Federico Aletti, Frederic Vallais, Giuseppe Baselli

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Cardiovascular (CV) variability as a primary vital sign carrying information about CV regulation systems is reviewed by pointing out the role of the main rhythms and the various control and functional systems involved. The high complexity of the addressed phenomena fosters a multimodal approach that relies on data analysis models and deals with the ongoing interactions of many signals at a time. The importance of closed-loop identification and causal analysis is remarked upon and basic properties, application conditions and methods are recalled. The need of further integration of CV signals relevant to peripheral and systemic haemodynamics, respiratory mechanics, neural afferent and efferent pathways is also stressed.

Original languageEnglish
Pages (from-to)391-409
Number of pages19
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume367
Issue number1887
DOIs
Publication statusPublished - Jan 28 2009

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Respiratory mechanics
Hemodynamics
Signal Processing
signal processing
Signal processing
rhythm
hemodynamics
Closed-loop
Mechanics
Pathway
Data analysis
Interaction
interactions
Model

Keywords

  • Cardiovascular regulation
  • Cardiovascular variability
  • Closed-loop identification
  • Granger's causality
  • Heart rate variability
  • Multi-channel signal processing

ASJC Scopus subject areas

  • Mathematics(all)
  • Physics and Astronomy(all)
  • Engineering(all)

Cite this

Multimodal signal processing for the analysis of Cardiovascular variability. / Porta, Alberto; Aletti, Federico; Vallais, Frederic; Baselli, Giuseppe.

In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 367, No. 1887, 28.01.2009, p. 391-409.

Research output: Contribution to journalArticle

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